top of page
Assistant professor, Paderborn University, Germany
Portrait of Johanna Schoenherr

Johanna Schoenherr

Research interests
  • Mathematical modelling
  • Visualization
  • Emotions and motivation
  • Creativity

About.

Johanna Schoenherr's main interest is in determining how to help students learn mathematics and how to help preservice teachers become good mathematics teachers, including: (1) visualization, such as determining how students learn to solve modelling problems with drawings; (2) emotions and motivation, such as determining how to pose problems that students enjoy working on; (3) preservice teachers' diagnostic competencies, such as whether they make adequate judgments of students' task motivations.

Education

2023

Assistant Professor
Paderborn University

2021

Secondary School Teacher
Muenster

2018

PhD in Mathematics Education

University of Muenster

2014

Mathematics and Social Science Education
University of Muenster

Projects

2.png

Visualization while solving modelling problems (ViMo 2)

Johanna Schoenherr & Stanislaw Schukajlow Funded by the German Research Foundation | 2024−2027 Mathematical modelling, the process of solving open real-world problems, is an essential component of mathematics education. However, many students struggle with solving modelling problems, prompting the question of how best to support them. In the first phase of the "ViMo" project, making a drawing emerged to be a promising strategy for enhancing modelling competencies, particularly in the field of geometry. However, it became evident that merely instructing students to create a drawing does not enable them to fully benefit from this strategy. The question of how to effectively promote drawing in the classroom remained unanswered. To address this, a second project phase, "ViMo 2," is set to start in 2024 under the leadership of Dr. Johanna Schönherr (University of Paderborn) in collaboration with Dr. Stanislaw Schukajlow (University of Münster). The project is supported with approximately half a million euros by the German Research Foundation (DFG), with a duration of three years. The primary objective of the research project is to examine the role of declarative and procedural strategic knowledge components, along with strategy-related motivation, in the creation of high-quality drawings and modeling performance. Four studies are planned for ninth-grade students in comprehensive schools in North Rhine-Westphalia. As an innovative instructional method, eye movement modeling instruction will be employed, and the eye movements of students will be recorded and analyzed. The outcomes of this project will not only contribute to theoretical insights but also hold practical significance for the teaching and learning of mathematics.

1200px-Burgee_of_University_of_California_Santa_Barbara.SVG.png

Benefits and boundary conditions of drawing prompts to solve modelling problems

Johanna Schoenherr Research visit in Prof. Dr. Richard E. Mayer's lab, UC Santa Barbara, funded by the German Research Foundation | 2023 Making a situational or mathematical drawing can help solve cognitively demanding word problems with a connection to reality (modelling problems). However, empirically, drawing instructions (i.e., asking students to make a drawing) did not have positive effects on modelling performance. One explanation based on the Generative Drawing Principle is that the external cognitive load of constructing the drawing must be minimized (e.g., by drawing guidance) to have sufficient cognitive capacities for effective information processing. One approach to provide students with drawing guidance – so-called drawing prompts – is that the learners do not construct the drawing freely, but by arranging given objects on a background template. The aim of the planned study is to investigate the effects, mechanisms, and conditions of situational and mathematical drawing prompts to solve modelling problems. The experimental study follows a three-group design. First, the 180 students complete a test on content-specific mathematical abilities and strategic knowledge of drawing, as well as a questionnaire on strategy-based motivation. After random assignment, they work on mathematical modeling tasks with support in making a situational or mathematical drawing or without drawing prompts (control group). Results will contribute to research in mathematics education and educational psychology and inform mathematics school instruction.

Foto 10.01.23, 16 56 07.jpg

Put on your math classes! A relevance intervention in secondary school

Johanna Schoenherr Funded by the Joachim Hertz Foundation | 2023

Recent publications

Maximizing the benefits of student-generated drawing for real-world problem solving

J. Schoenherr, R. E. Mayer
Contemporary Educational Psychology (accepted).

J. Schoenherr, S. Schukajlow, R. Pekrun
ZDM Mathematics Education (2025).

J. Schoenherr, A. R. Strohmaier, S. Schukajlow
Educational Research Review (2024).

Scholarships and Awards

Fellowship-Programm Zia 2024

ZEIT Verlag

The ZEIT Zia Fellowship, "Visible Women in Science," is an initiative aimed at promoting women in science by offering female scientists from various disciplines a year-long program that includes workshops, alongside networking opportunities, with the goal of enhancing their visibility and advancing their careers in academia and research.

Walter-Benjamin Grant 2023

German Research Foundation

The Walter Benjamin Programme enabled Johanna Schoenherr in the postdoctoral training phase to conduct her own research project at the University of California, Santa Barbara, with Prof. Dr. Richard E. Mayer providing support for the project.

GDM Dissertation Award 2020

Every two years, the Society for Didactics of Mathematics (Gesellschaft für Didaktik der Mathematik, GDM) awards the GDM Dissertation Award for an outstanding dissertation to a young mathematics didactician.

© 2023 by Johanna Schoenherr.

bottom of page